A Probabilistic Method Combining Electrical Energy Storage and Real-Time Thermal Ratings to Defer Network Reinforcement
A Probabilistic Method Combining Electrical Energy Storage and Real-Time Thermal Ratings to Defer Network Reinforcement
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DOI：
10.1109/tste.2016.2600320
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发表时间：
2017
影响因子：
8.8
通讯作者：
D. Greenwood;N. Wade;P. Taylor;P. Papadopoulos;N. Heyward
中科院分区：
文献类型：
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作者：
D. Greenwood;N. Wade;P. Taylor;P. Papadopoulos;N. Heyward
当一个主变达到其容量极限时，标准的解决方案是用额外的线路来加固网络。在适当的条件下，所需的额外峰值容量可以通过储能系统(ESS)、实时额定热量(RTTR)或两者的组合来提供。我们提出了一种用于计算电力需求调峰应用中储能系统大小的概率方法。同时考虑了功率和能量容量的影响，以及储能和现有架空线路的可靠性。我们还考虑将储能和RTTR相结合-利用天气条件变化导致的电力线路额定电压的固有变异性-来提高可靠性，推迟常规加固，并增加储能的可用性，以参与商业服务市场。该方法在一个具有正在进行的6兆瓦/10兆瓦小时ESS创新项目的网络的案例研究中得到了演示。
When a primary substation reaches its capacity limit, the standard solution is to reinforce the network with additional circuits. Under the right conditions, the required additional peak capacity can be provided by energy storage systems (ESS), real-time thermal ratings (RTTR) or a combination of the two. We present a probabilistic method for calculating the size of an electrical energy storage system for a demand peak shaving application. The impact of both power and energy capacity are considered, along with the reliability of the energy storage and the existing overhead lines. We also consider the combination of energy storage and RTTR - taking advantage of the inherent variability in power line rating as a result of changing weather conditions - for enhancing reliability, deferring conventional reinforcement, and increasing the availability of energy storage to participate in commercial service markets. The method is demonstrated in a case study on a network with an ongoing 6-MW/10-MWh ESS innovation project.